How do you get an AI system through government procurement in the Gulf?
You design for the evaluation, not the demonstration. A GCC government buyer scores a proposal against written criteria — technical compliance, In-Country Value, through-life support, data sovereignty and references — and an AI system that cannot be scored against those lines does not win, however good the model is.
In practice that means three things decided early. Where the data lives and who may touch it, because most defence and interior ministries will not accept a model that trains or infers outside national infrastructure. How the system degrades, because an evaluation committee will ask what happens when the network drops and "it calls the cloud" is a failing answer. And who supports it in five years, because procurement is buying a capability, not a proof of concept.
We write the technical volume so a non-specialist evaluator can score it, and we sit with the end-user technical team while they test it. That combination — building the thing and defending it in the room — is unusual.
- AI strategy and opportunity assessment against real programme timelines
- Computer vision, recognition and detection systems
- Data platforms, automation and backend systems
- Deployment inside government and regulated environments
- Technical volume authorship and evaluation support
